Pharmacokinetic/Pharmacodynamic Models of Antibiotics

A special issue of Antibiotics (ISSN 2079-6382). This special issue belongs to the section "Pharmacokinetics and Pharmacodynamics of Drugs".

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 15158

Special Issue Editors


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Guest Editor
Colleges of Pharmacy and Medicine, Wayne State University, Detroit, MI, USA
Interests: antimicrobial pharmacotherapy; bacterial metabolism; secondary metabolism/metabolic engineering; molecular biology; recombinant genetics; enzymology; pharmacokinetics/pharmacodynamics; mechanisms of antimicrobial resistance; antimicrobial tolerance
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Guest Editor
Anti-Infective Research Laboratory, Department of Pharmacy Practice, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, Detroit, MI 48201, USA
Interests: antibiotic resistance; bacteriophage; lysin; pharmacokinetic/pharmacodynamic models

Special Issue Information

Dear Colleagues,

The pharmacokinetic/pharmacodynamic (PK/PD) models of antibiotics are excellent tools for predicting the impact of humanized doses of drugs, tracking resistance development, or monitoring the efficacy of dose de-escalation/combination therapy over time. In particular, in vitro models offer features such as flexibility of treatment duration and initial inoculum. While the majority of PK/PD research is focused on antibiotics, this issue welcomes PK/PD research related to other novel antibacterial agents such as bacteriophages and lysins as well. This issue welcomes various submission types such as original research papers, short communications, reviews, case reports and perspectives. Potential topics for this Special Issue include but are not limited to the following topics.

  • In vitro or ex vivo dynamic PK/PD models of antibacterial agents
  • In vivo PK/PD models of antibacterial agents
  • Clinical outcomes research related to PK/PD
  • Mathematical models and simulations associated with PK/PD of antibacterial agents
  • Application of PK/PD in drug (antibiotic) delivery systems
  • Role of PK/PD models in drug (antibiotic) development
  • Fundamental concepts of PK/PD modeling
  • Dose de-escalation in PK/PD models of antibacterial agents
  • Combination therapy and resistance prevention in PK/PD models
  • Impact of initial inoculum in PK/PD models of antibacterial agents
  • Infectious disease modeling using multiple compartment PK/PD setups

Dr. Andrew David Berti
Dr. Razieh Kebriaei
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Antibiotics is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (8 papers)

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Editorial

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4 pages, 203 KiB  
Editorial
Editorial: Antibiotics Special Issue on Pharmacokinetic/Pharmacodynamic Models of Antibiotics
by Razieh Kebriaei and Andrew D. Berti
Antibiotics 2022, 11(11), 1540; https://doi.org/10.3390/antibiotics11111540 - 03 Nov 2022
Viewed by 970
Abstract
Pharmacokinetic/pharmacodynamic (PK/PD) modeling is an essential tool for rational drug development and treatment design [...] Full article
(This article belongs to the Special Issue Pharmacokinetic/Pharmacodynamic Models of Antibiotics)

Research

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15 pages, 1480 KiB  
Article
Pharmacokinetics of Vancomycin among Patients with Chemotherapy-Associated Febrile Neutropenia: Which Would Be the Best Dosing to Obtain Appropriate Exposure?
by Daniel Parra González, Jefferson Alejandro Pérez Mesa, Sonia Isabel Cuervo Maldonado, Jorge Augusto Díaz Rojas, Jorge Alberto Cortés, Edelberto Silva Gómez, Carlos Humberto Saavedra Trujillo and Julio Gómez
Antibiotics 2022, 11(11), 1523; https://doi.org/10.3390/antibiotics11111523 - 01 Nov 2022
Cited by 2 | Viewed by 1770
Abstract
Previous research has determined that the required doses for treating febrile neutropenia with vancomycin are higher than the doses used conventionally. These recommendations have been made considering pharmacotherapeutic goals based on minimum concentration (Cmin) between 15–20 mg/L. [...] Read more.
Previous research has determined that the required doses for treating febrile neutropenia with vancomycin are higher than the doses used conventionally. These recommendations have been made considering pharmacotherapeutic goals based on minimum concentration (Cmin) between 15–20 mg/L. This study was developed to evaluate dose recommendations based on the achievement of a target consisting of ratio of area under the curve over minimum inhibitory concentration (AUC24h/MIC) 400 in this population of individuals. This study was conducted in a referral hospital for cancer treatment, study participants received vancomycin doses of 1g every 12 h in 2-4-h infusions. Vancomycin was described by a two-compartment pharmacokinetic model with clearance dependent on the estimated glomerular filtration rate. Simulations were performed taking into account a reduced version of the model to establish the influence of controllable and non-controllable variables on the probability of achieving several PK-PD targets. A dose of 2.5g/day in patients with estimated glomerular filtration rate (eGFR) between 80 and 122mL/min/1.73m2 was adequate to achieve the pharmacotherapeutic target. A discrepancy was found between AUC-based and Cmin-based PK/PD indices, the former being affected by the dose and creatinine clearance while the latter highly influenced by the interval between doses. Full article
(This article belongs to the Special Issue Pharmacokinetic/Pharmacodynamic Models of Antibiotics)
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13 pages, 1433 KiB  
Article
In Vitro Assessment of the Combination of Antibiotics against Some Integron-Harbouring Enterobacteriaceae from Environmental Sources
by Folake Temitope Fadare, Elsiddig A. E. Elsheikh and Anthony Ifeanyin Okoh
Antibiotics 2022, 11(8), 1090; https://doi.org/10.3390/antibiotics11081090 - 11 Aug 2022
Cited by 6 | Viewed by 1685
Abstract
One strategy for combating antimicrobial resistance in many infections is to combine antibacterial compounds to create combinations that outperform each molecule alone. In this study, we examine and study the inhibitory effect of combining two drugs belonging to different antibiotic classes to obtain [...] Read more.
One strategy for combating antimicrobial resistance in many infections is to combine antibacterial compounds to create combinations that outperform each molecule alone. In this study, we examine and study the inhibitory effect of combining two drugs belonging to different antibiotic classes to obtain a possible potentiating effect against some Enterobacteriaceae isolates harbouring integrons recovered from rivers and effluents of hospital and wastewater treatment plants in Eastern Cape Province, South Africa. These integrons could easily enable the isolates to acquire genes that confer additional resistance against conventional antibiotics. The minimum inhibitory concentration of the various antibiotics was determined using the broth microdilution, while the checkerboard method was used to determine the fractional inhibitory concentration indices (FICIs). A total of 26.3% (10/38) of the interactions were categorised as synergistic, while 73.7% (28/38) were indifferent. None of the combinations were antagonistic. The time–kill assays revealed all the synergistic interactions as bactericidal. Therefore, the combinations of gentamicin with tetracycline, ciprofloxacin, and ceftazidime against multidrug-resistant (MDR) Klebsiella pneumoniae, tetracycline–ceftazidime combination against MDR Escherichia coli, colistin combinations with ceftazidime and gentamicin, and tetracycline–gentamicin combinations against MDR Citrobacter freundii may be future therapeutic alternatives. Hence, the synergistic combinations reported in this study must be assessed further in vivo before their clinical applications. Full article
(This article belongs to the Special Issue Pharmacokinetic/Pharmacodynamic Models of Antibiotics)
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12 pages, 1241 KiB  
Article
Predicting Antibiotic Effect of Vancomycin Using Pharmacokinetic/Pharmacodynamic Modeling and Simulation: Dense Sampling versus Sparse Sampling
by Yong Kyun Kim, Jae Ha Lee, Hang-Jea Jang, Dae Young Zang and Dong-Hwan Lee
Antibiotics 2022, 11(6), 743; https://doi.org/10.3390/antibiotics11060743 - 31 May 2022
Cited by 5 | Viewed by 1587
Abstract
This study aimed to investigate the effect of a structural pharmacokinetic (PK) model with fewer compartments developed following sparse sampling on the PK parameter estimation and the probability of target attainment (PTA) prediction of vancomycin. Two- and three-compartment PK models of vancomycin were [...] Read more.
This study aimed to investigate the effect of a structural pharmacokinetic (PK) model with fewer compartments developed following sparse sampling on the PK parameter estimation and the probability of target attainment (PTA) prediction of vancomycin. Two- and three-compartment PK models of vancomycin were used for the virtual concentration–time profile simulation. Datasets with reduced blood sampling times were generated to support a model with a lesser number of compartments. Monte Carlo simulation was conducted to evaluate the PTA. For the two-compartment PK profile, the total clearance (CL) of the reduced one-compartment model showed a relative bias (RBias) and relative root mean square error (RRMSE) over 90%. For the three-compartment PK profile, the CL of the reduced one-compartment model represented the largest RBias and RRMSE, while the steady-state volume of distribution of the reduced two-compartment model represented the largest absolute RBias and RRMSE. A lesser number of compartments corresponded to a lower predicted area under the concentration–time curve of vancomycin. The estimated PK parameters and predicted PK/PD index from models built with sparse sampling designs that cannot support the PK profile can be significantly inaccurate and unprecise. This might lead to the misprediction of the PTA and selection of improper dosage regimens when clinicians prescribe antibiotics. Full article
(This article belongs to the Special Issue Pharmacokinetic/Pharmacodynamic Models of Antibiotics)
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18 pages, 1472 KiB  
Article
Combined PK/PD Index May Be a More Appropriate PK/PD Index for Cefoperazone/Sulbactam against Acinetobacter baumannii in Patients with Hospital-Acquired Pneumonia
by Yingjie Zhou, Jing Zhang, Yuancheng Chen, Jufang Wu, Beining Guo, Xiaojie Wu, Yingyuan Zhang, Minggui Wang, Ru Ya and Hao Huang
Antibiotics 2022, 11(5), 703; https://doi.org/10.3390/antibiotics11050703 - 23 May 2022
Cited by 4 | Viewed by 2807
Abstract
Cefoperazone/sulbactam (CPZ/SUL) is a β-lactam and β-lactamase inhibitor combination therapy for the treatment of respiratory tract infections. Using data from a prospective, multiple-center, open-label clinical trial in 54 patients with hospital-acquired pneumonia or ventilator-associated pneumonia caused by multidrug-resistant Acinetobacter baumannii (Ab), we showed [...] Read more.
Cefoperazone/sulbactam (CPZ/SUL) is a β-lactam and β-lactamase inhibitor combination therapy for the treatment of respiratory tract infections. Using data from a prospective, multiple-center, open-label clinical trial in 54 patients with hospital-acquired pneumonia or ventilator-associated pneumonia caused by multidrug-resistant Acinetobacter baumannii (Ab), we showed that a combined PK/PD index %(T > MICcpz*T > MICsul) is a more appropriate PK/PD index against Ab, compared to the PK/PD index (%T > MIC) for a single drug. For a 2 h infusion, the PK/PD cutoff of CPZ/SUL (2 g/1 g, q8h) for clinical and microbiological efficacy was 4/2 and 1/0.5 mg/L, respectively. The corresponding cumulative fraction of response was 46.5% and 25.3%, respectively. Results based on the combined PK/PD index were quite similar to that based on the joint probability of target attainment. The two drugs have interaction from the viewpoint of PK/PD. When the dose of one drug was too high, the PK/PD cutoff was often determined by another drug in which the dose was maintained. In most cases, sulbactam exerted the main effect against infection by Ab in the complex CPZ/SUL, which was similar to the literature reports. When the MIC of CPZ was 8, 16, or 32 mg/L, a CPZ/SUL 2 g/1 g (q8h), 2 g/2 g (q8h), or 2 g/2 g (q6h) (infusion was all 3 h) was recommended, respectively. A clinical efficacy and safety study to confirm simulation results is warranted. Full article
(This article belongs to the Special Issue Pharmacokinetic/Pharmacodynamic Models of Antibiotics)
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15 pages, 4795 KiB  
Article
Pharmacodynamics of Ceftriaxone, Ertapenem, Fosfomycin and Gentamicin in Neisseria gonorrhoeae
by Urša Gubenšek, Myrthe de Laat, Sunniva Foerster, Anders Boyd and Alje Pieter van Dam
Antibiotics 2022, 11(3), 299; https://doi.org/10.3390/antibiotics11030299 - 23 Feb 2022
Cited by 5 | Viewed by 2209
Abstract
Objectives: To assess the in vitro effect of select antimicrobials on the growth of N. gonorrhoeae and its pharmacodynamic parameters. Methods: Time–kill assays were performed on two reference N. gonorrhoeae strains (ceftriaxone-resistant WHO X and ceftriaxone-susceptible WHO F) and one clinical N. gonorrhoeae [...] Read more.
Objectives: To assess the in vitro effect of select antimicrobials on the growth of N. gonorrhoeae and its pharmacodynamic parameters. Methods: Time–kill assays were performed on two reference N. gonorrhoeae strains (ceftriaxone-resistant WHO X and ceftriaxone-susceptible WHO F) and one clinical N. gonorrhoeae strain (ceftriaxone-susceptible CS03307). Time–kill curves were constructed for each strain by measuring bacterial growth rates at doubling antimicrobial concentrations of ceftriaxone, ertapenem, fosfomycin and gentamicin. Inputs from these curves were used to estimate minimal bacterial growth rates at high antimicrobial concentrations (ψmin), maximum bacterial growth rates in the absence of antimicrobials (ψmax), pharmacodynamic minimum inhibitory concentrations (zMIC), and Hill’s coefficients (κ). Results: Ceftriaxone, ertapenem and fosfomycin showed gradual death overtime at higher antimicrobial concentrations with a relatively high ψmin, demonstrating time-dependent activity. Compared to WHO F, the ψmin for WHO X was significantly increased, reflecting decreased killing activity for ceftriaxone, ertapenem and fosfomycin. At high ceftriaxone concentrations, WHO X was still efficiently killed. CS03307 also showed a high ψmin for ceftriaxone in spite of a low MIC and no difference in ψmin for fosfomycin in spite of significant MIC and zMIC differences. Gentamicin showed rapid killing for all three strains at high concentrations, demonstrating concentration-dependent activity. Conclusions: Based on time–kill assays, high-dosage ceftriaxone could be used to treat N. gonorrhoeae strains with MIC above breakpoint, with gentamicin as a potential alternative. Whether ertapenem or fosfomycin would be effective to treat strains with a high MIC to ceftriaxone is questionable. Full article
(This article belongs to the Special Issue Pharmacokinetic/Pharmacodynamic Models of Antibiotics)
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8 pages, 1189 KiB  
Article
Bacterial Mixology: Combining Pharmacodynamic Models to Predict In Vitro Competition of MCR-1-Harboring E. coli
by Nicholas M. Smith, Arthur Chan, Thomas D. Nguyen and Jacob T. Dumbleton
Antibiotics 2022, 11(1), 34; https://doi.org/10.3390/antibiotics11010034 - 28 Dec 2021
Cited by 1 | Viewed by 1310
Abstract
The emergence of mobile colistin resistance (mcr)-mediated polymyxin resistance has resulted in a significant detriment to the utility of the polymyxins in the clinical setting. Though the risk for horizontal transfer of an mcr-containing plasmid is a major component of [...] Read more.
The emergence of mobile colistin resistance (mcr)-mediated polymyxin resistance has resulted in a significant detriment to the utility of the polymyxins in the clinical setting. Though the risk for horizontal transfer of an mcr-containing plasmid is a major component of the transmissibility, selection of polymyxin resistant subpopulations is still a major risk factor for developing polymyxin-resistant infections. Using static time-kills over 24 h (h), we performed competition studies by mixing known inocula of isogenic Escherichia coli strains (wildtype [WT] and mcr-1-harboring) and treating with a concentration array of polymyxin B. These results were then compared to a priori predictions of bacterial-killing effects by polymyxin B on a mixed population of E. coli cells using a previously published mechanism-based model. The data showed that both selective pressure between WT and mcr-1-harboring strains as well as underlying polymyxin B heteroresistance within each of the two strains contributed to bacterial regrowth despite treatment with high concentration polymyxin B. Moreover, the simulations showed that when mcr-1-harboring cells were 1% or 10% of the total population, regrowth by 24 h was still observed in ≥50% of the simulated subjects for both a 106 and 108 inoculum. These results indicate that at lower inoculums with a low proportion of mcr-1-harboring cells, selective pressure from a pharmacokinetic-optimized regimen of polymyxin B still results in regrowth and selection of polymyxin-resistant cells. Full article
(This article belongs to the Special Issue Pharmacokinetic/Pharmacodynamic Models of Antibiotics)
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10 pages, 1225 KiB  
Article
MPC-Based Prediction of Anti-Mutant Effectiveness of Antibiotic Combinations: In Vitro Model Study with Daptomycin and Gentamicin against Staphylococcus aureus
by Maria V. Golikova, Elena N. Strukova, Yury A. Portnoy, Stephen H. Zinner and Alexander A. Firsov
Antibiotics 2021, 10(10), 1148; https://doi.org/10.3390/antibiotics10101148 - 23 Sep 2021
Cited by 1 | Viewed by 1444
Abstract
To explore whether combined treatments with daptomycin and gentamicin can prevent the development of Staphylococcus aureus resistance, and whether the possible restriction is associated with changes in antibiotic mutant prevention concentrations (MPCs), the enrichment of daptomycin- and gentamicin-resistant mutants was studied by simulating [...] Read more.
To explore whether combined treatments with daptomycin and gentamicin can prevent the development of Staphylococcus aureus resistance, and whether the possible restriction is associated with changes in antibiotic mutant prevention concentrations (MPCs), the enrichment of daptomycin- and gentamicin-resistant mutants was studied by simulating 5-day single and combined treatments in an in vitro dynamic model. The MPCs of the antibiotics in the combination were determined at concentration ratios equal to the ratios of 24 h areas, under the concentration–time curve (AUCs) of the antibiotics, as simulated in pharmacodynamic experiments. The MPCs of both daptomycin and gentamicin decreased in the presence of each other; this led to an increase in the time when antibiotic concentrations were above the MPC (T>MPC). The increases in T>MPCs were concurrent with increases of the anti-mutant effects of the combined antibiotics. When anti-mutant effects of the antibiotics in single and combined treatments were plotted against the T>MPCs, significant sigmoid relationships were obtained. These findings suggest that (1) daptomycin–gentamicin combinations prevent the development of S. aureus resistance to each antibiotic; (2) the anti-mutant effects of antibiotic combinations can be predicted using MPCs determined at pharmacokinetic-based antibiotic concentration ratios; (3) T>MPC is a reliable predictor of the anti-mutant efficacy of antibiotic combinations. Full article
(This article belongs to the Special Issue Pharmacokinetic/Pharmacodynamic Models of Antibiotics)
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